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Sql Pro

Listed
sickn33·vlatest·database·MIT

SQL Pro allows you to generate and execute SQL queries from natural language descriptions, simplifying database interaction for users of all skill levels.

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add sickn33/agentic-awesome-skills --skill sql-pro -a claude-code
  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

sickn33

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill failed 1 of 6 checks. A failure is not proof of bad intent; it means something in the code needs a human to look at it before you run it.

  • Declares what it does: failed

    No SKILL.md was found in the skill's directory.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No undeclared network calls: passed

    Makes no network calls.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

  • No pipe-to-shell installers: passed

    No pipe-to-shell or download-and-run installers.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned sickn33/agentic-awesome-skills at c808e6e480.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Scanned
0 files
Copies in repo
3 — all of them scanned
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

What it does

The sql-pro skill empowers AI agents to execute complex SQL queries directly against database systems. It enables automated data retrieval, transformation, and analysis by translating natural language requests into executable database commands.

When to use it

  • Automated Reporting: Generate daily sales summaries or inventory reports without manual spreadsheet manipulation.
  • Data Validation: Quickly verify data integrity by running specific SELECT, JOIN, or aggregation queries on large datasets.
  • Ad-hoc Analysis: Investigate trends or anomalies in real-time by asking the agent to filter and sort database records.
  • Schema Exploration: Retrieve column definitions, table structures, or sample rows to understand new database schemas.

Key capabilities

  • Executes standard SQL dialects including SELECT, INSERT, UPDATE, and DELETE.
  • Supports complex query logic involving JOINs, subqueries, and aggregate functions.
  • Interfaces with various database backends to fetch structured data.
  • Translates natural language prompts into optimized SQL statements.

Example prompts

  • "Show me the total revenue per region for the last quarter."
  • "List all users who have not logged in for over 30 days."
  • "Update the status of orders where the payment amount is greater than $500 to 'pending_review'."

Tips & gotchas

Ensure your AI agent has explicit read/write permissions on the target database before enabling this skill. Always review generated SQL queries in a sandbox environment first if the agent has write access, as natural language ambiguity can lead to unintended data modifications.